modelId
stringlengths
4
81
tags
list
pipeline_tag
stringclasses
17 values
config
dict
downloads
int64
0
59.7M
first_commit
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Declan/Reuters_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: sks --- ### sks-jessy-2400 Dreambooth model trained by eicu with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `diffusers` [Colab No...
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Declan/Reuters_model_v2
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
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Declan/WallStreetJournal_model_v1
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - wer model-index: - name: whisper-dpv-finetuned-WITH-AUGMENTATION-AUGMENTED-ALL results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it,...
[ -0.038445066660642624, -0.006085205357521772, 0.014534966088831425, 0.025563476607203484, 0.035696614533662796, 0.006767528131604195, 0.0013784455368295312, 0.010832824744284153, -0.021724073216319084, 0.06433681398630142, 0.03157304972410202, -0.028418319299817085, 0.015584621578454971, 0...
DeepChem/ChemBERTa-77M-MLM
[ "pytorch", "roberta", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
2,416
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Pyramids library_name: ml-agents --- # **ppo** Agent playing **Pyramids** This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Age...
[ -0.050348926335573196, 0.006246555596590042, -0.008195114322006702, 0.05628141760826111, 0.02786949649453163, 0.030941784381866455, -0.004203329794108868, -0.03400781750679016, -0.006022962275892496, 0.0524410642683506, 0.019557710736989975, -0.013267750851809978, 0.008272182196378708, 0.0...
DeividasM/wav2vec2-large-xlsr-53-lithuanian
[ "pytorch", "jax", "wav2vec2", "automatic-speech-recognition", "lt", "dataset:common_voice", "transformers", "audio", "speech", "xlsr-fine-tuning-week", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
7
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mnli-target-glue-qnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.030336778610944748, 0.0004384212370496243, 0.0009070725063793361, 0.03803740069270134, 0.05831216275691986, 0.003992224577814341, -0.0025374609977006912, -0.011123955249786377, -0.03560628369450569, 0.05095401033759117, 0.007073157466948032, -0.028005583211779594, 0.03151052072644234, 0...
DemangeJeremy/4-sentiments-with-flaubert
[ "pytorch", "flaubert", "text-classification", "fr", "transformers", "sentiments", "french", "flaubert-large" ]
text-classification
{ "architectures": [ "FlaubertForSequenceClassification" ], "model_type": "flaubert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
226
null
--- license: apache-2.0 tags: - generated_from_trainer datasets: - image_folder metrics: - accuracy model-index: - name: beit-base-patch16-224-pt22k-ft22k-finetuned-FER2013-9e-05 results: - task: name: Image Classification type: image-classification dataset: name: image_folder type: imag...
[ 0.0058483704924583435, -0.01023571752011776, -0.008036901243031025, 0.034852687269449234, 0.0327046737074852, 0.010510992258787155, 0.0038323160260915756, -0.003847402986139059, -0.00899300817400217, 0.041350506246089935, 0.003993080463260412, -0.016225161030888557, 0.014257279224693775, 0...
Denilson/gbert-base-germaner
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- language: - vi license: apache-2.0 tags: - hf-asr-leaderboard - generated_from_trainer datasets: - mozilla-foundation/common_voice_11_0 model-index: - name: HuyenNguyen results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probabl...
[ -0.044789209961891174, -0.013884595595300198, -0.032193608582019806, 0.036034468561410904, 0.04124247282743454, 0.029162421822547913, -0.011323251761496067, -0.016620982438325882, -0.03256078436970711, 0.03506966680288315, 0.03684532269835472, -0.012770154513418674, 0.011956819333136082, 0...
Deniskin/essays_small_2000
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # Core ML Converted Model: - This model was converted to Core ML for use on Apple Silicon devices. Instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-files-to-Core-ML).<br>...
[ -0.006866489537060261, -0.013408818282186985, -0.02233865298330784, 0.02715166285634041, 0.055562250316143036, 0.000591339310631156, 0.005860746838152409, -0.030901841819286346, -0.006665297318249941, 0.06337904930114746, 0.05557098984718323, 0.011431434191763401, -0.0027909979689866304, 0...
Deniskin/essays_small_2000i
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
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Deniskin/gpt3_medium
[ "pytorch", "gpt2", "text-generation", "transformers", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
52
2023-01-08T20:37:06Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
Denny29/DialoGPT-medium-asunayuuki
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
null
--- library_name: stable-baselines3 tags: - SpaceInvadersNoFrameskip-v4 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: DQN results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: SpaceInvadersNoFrameskip-v4 ...
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Denver/distilbert-base-uncased-finetuned-squad
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: sks --- ### jessy-3500 Dreambooth model trained by eicu with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `diffusers` [Colab Notebo...
[ -0.03104793094098568, -0.03050473891198635, -0.023236697539687157, 0.028779588639736176, 0.031496379524469376, 0.027605418115854263, -0.03750118985772133, -0.01780816912651062, -0.025175636634230614, 0.04912480711936951, 0.024078847840428352, 0.012852247804403305, -0.021610967814922333, 0....
DeskDown/MarianMix_en-zh-10
[ "pytorch", "tensorboard", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
null
--- license: openrail language: - en tags: - Angelcore - Devilcore - Dieselpunk - Steampunk - Clockpunk - Fantasy - Gothic Style - Nu-Gothic Style - Gothic Art - Dark Fantasy - Dark Art - Medieval - Modern - Futuristic - Cybernetic - Magic tech - Magic Circles - Cute Girls - Beautiful Women - Creepy Women - Creepy Girl...
[ -0.012622250244021416, -0.020523663610219955, -0.0006979521713219583, 0.03217911347746849, 0.06460169702768326, 0.019396690651774406, 0.009503374807536602, 0.007226451300084591, 0.0002446342841722071, 0.07523125410079956, 0.02679024636745453, 0.026270398870110512, 0.005246964283287525, 0.0...
DeskDown/MarianMix_en-zh_to_vi-ms-hi-ja
[ "pytorch", "tensorboard", "marian", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
5
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mnli-target-glue-rte results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove t...
[ -0.03148515149950981, 0.00014672685938421637, 0.0008312848513014615, 0.03684988245368004, 0.06035562977194786, 0.008861382491886616, -0.005815423093736172, -0.010871430858969688, -0.036079104989767075, 0.05787048861384392, 0.011545279063284397, -0.03027370758354664, 0.028775405138731003, 0...
Despin89/test
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: bert-base-casedepoch3_sexist_baseline_with_reddit_and_gab results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread an...
[ -0.004407930187880993, -0.014464386738836765, -0.01067062746733427, 0.03757243975996971, 0.040403101593256, 0.012836079113185406, -0.0015529649099335074, -0.00865746010094881, -0.05599386245012283, 0.059916917234659195, 0.018477315083146095, -0.010112267918884754, 0.030816195532679558, 0.0...
Dev-DGT/food-dbert-multiling
[ "pytorch", "distilbert", "token-classification", "transformers", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
17
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mnli-target-glue-sst2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.029987959191203117, -0.003236534306779504, -0.0027493436355143785, 0.038211457431316376, 0.05877123400568962, 0.009140467271208763, -0.006499703042209148, -0.008970926515758038, -0.037154700607061386, 0.0584857240319252, 0.01170350518077612, -0.025281574577093124, 0.02832765132188797, 0...
Devrim/prism-default
[ "license:mit" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
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DevsIA/Devs_IA
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - spearmanr model-index: - name: tiny-mlm-glue-mnli-target-glue-stsb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove...
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DevsIA/imagenes
[]
null
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0
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semanti...
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DheerajPranav/Dialo-GPT-Rick-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T21:20:57Z
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.0397258996963501, -0.0024803816340863705, -0.00761859817430377, 0.04800276830792427, 0.030456198379397392, 0.02182306908071041, -0.025431791320443153, -0.031908754259347916, -0.00475346902385354, 0.04568290337920189, 0.018720285966992378, -0.008329972624778748, 0.02046707645058632, 0.02...
Dhritam/Zova-bot
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mnli-target-glue-wnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.03689951449632645, -0.003338305978104472, 0.0015761040849611163, 0.03607844561338425, 0.056696899235248566, 0.011727728880941868, -0.006785443983972073, -0.007427169010043144, -0.031087856739759445, 0.06013993173837662, 0.019473956897854805, -0.02855856530368328, 0.026784474030137062, 0...
Dhruva/Interstellar
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: openrail++ --- # Model Card for Model ID A Sci-Fi themed model trained on SD 1.5 with a 26K+ image dataset. # Model Details - **Developed by:** Corruptlake - **License:** openrail++ - **Finetuned from model:** Stable Diffusion v1.5 - **Developed using:** Everydream 1.0 - **Version:** v1.0 **If you wou...
[ -0.02206898108124733, -0.024137413129210472, -0.02266301028430462, 0.04142245277762413, 0.05359450355172157, 0.02553078718483448, -0.00003521774124237709, -0.014285392127931118, -0.015550593845546246, 0.05223121494054794, 0.07002589106559753, 0.0032211386132985353, -0.01841020956635475, 0....
Dibyaranjan/nl_image_search
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T21:28:21Z
--- language: en thumbnail: http://www.huggingtweets.com/petite_findom/1673213417942/predictions.png tags: - huggingtweets widget: - text: "My dream is" --- <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:inherit; margin-left: 4px; margin-right: 4px; w...
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DicoTiar/wisdomfiy
[ "pytorch", "bert", "fill-mask", "transformers", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3
2023-01-08T21:31:16Z
--- license: apache-2.0 language: - hu tags: - text-classification metrics: - accuracy widget: - text: >- Kovácsné Nagy Erzsébet [SEP] A Kovácsné Nagy Erzsébet nagyon jól érzi magát a Nokiánál, azonban a Németországból érkezett Kovács Péter nehezen boldogul a beilleszkedéssel. example_title: positive - te...
[ 0.0014940925175324082, -0.014652171172201633, -0.03488476574420929, 0.03234277293086052, 0.03373292461037636, 0.03566195070743561, -0.00392405828461051, 0.006756260991096497, -0.049602195620536804, 0.04164867475628853, 0.008407415822148323, -0.025664161890745163, 0.023888396099209785, 0.04...
DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro
[ "pytorch", "tensorboard", "marian", "text2text-generation", "dataset:wmt16", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "MarianMTModel" ], "model_type": "marian", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1
2023-01-08T21:31:31Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-mrpc-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, ...
[ -0.032196905463933945, 0.0063479808159172535, 0.0030386100988835096, 0.03883275389671326, 0.060987528413534164, 0.01332708727568388, -0.017403852194547653, -0.009421750903129578, -0.036079682409763336, 0.0560038723051548, 0.03251843526959419, -0.019996164366602898, 0.022730715572834015, 0....
DiegoBalam12/institute_classification
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T21:35:33Z
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # Core ML Converted Model: - This model was converted to Core ML for use on Apple Silicon devices. Instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-files-to-Core-ML).<br>...
[ -0.027352064847946167, -0.021151645109057426, -0.016505811363458633, 0.03818533942103386, 0.04773023724555969, 0.019124897196888924, -0.006376365199685097, -0.014701603911817074, -0.006346011999994516, 0.06522886455059052, 0.05915650725364685, 0.021419811993837357, -0.023589743301272392, 0...
Dilmk2/DialoGPT-small-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
2023-01-08T21:38:32Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imagefolder metrics: - accuracy - f1 - recall - precision model-index: - name: vit-base-patch16-224-in21k_male_or_female_eyes results: - task: name: Image Classification type: image-classification dataset: name: imagefolder ...
[ -0.03146570548415184, -0.021940192207694054, 0.0002403620892437175, 0.03490764647722244, 0.047360312193632126, -0.0007473749574273825, -0.012475241906940937, -0.015483484603464603, -0.005409641657024622, 0.04499482363462448, 0.03923036530613899, -0.023159416392445564, 0.029808716848492622, ...
DimaOrekhov/transformer-method-name
[ "pytorch", "encoder-decoder", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "EncoderDecoderModel" ], "model_type": "encoder-decoder", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
8
2023-01-08T21:45:36Z
--- license: mit language: - hu tags: - text-classification metrics: - accuracy widget: - text: >- Kovácsné Nagy Erzsébet </s> A Kovácsné Nagy Erzsébet nagyon jól érzi magát a Nokiánál, azonban a Németországból érkezett Kovács Péter nehezen boldogul a beilleszkedéssel. example_title: positive - text: >- ...
[ -0.02167089842259884, 0.0003009697829838842, -0.012607846409082413, 0.021364228799939156, 0.02847929298877716, 0.03763500973582268, -0.003617178415879607, 0.005129081197082996, -0.0456562303006649, 0.03128277510404587, 0.028356678783893585, -0.029194284230470657, 0.019849590957164764, 0.04...
Dimedrolza/DialoGPT-small-cyberpunk
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-01-08T21:46:57Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-target-glue-mnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.03445854038000107, 0.003868576604872942, 0.00023646149202249944, 0.03659746050834656, 0.059903163462877274, 0.007182946894317865, -0.002718560164794326, -0.00929651316255331, -0.03346957266330719, 0.05903875082731247, 0.017851706594228745, -0.03134208917617798, 0.024518853053450584, 0.0...
Dizoid/Lll
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T21:54:03Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03785993158817291, -0.0024669754784554243, -0.004929812159389257, 0.025819947943091393, 0.045225515961647034, -0.021523388102650642, -0.005463037174195051, -0.02791406214237213, -0.033460646867752075, 0.06645812839269638, 0.03227659687399864, -0.023707902058959007, 0.023162303492426872, ...
Dkwkk/Da
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T21:57:21Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.041583869606256485, 0.014151153154671192, 0.013182036578655243, 0.017395174130797386, 0.04886886104941368, -0.011981280520558357, -0.02073374018073082, -0.023416252806782722, -0.01725049875676632, 0.06877388060092926, 0.03620411083102226, -0.007183973211795092, 0.011072910390794277, -0....
Dkwkk/W
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T21:57:58Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03723634034395218, -0.002687779488041997, -0.005355224944651127, 0.02562357857823372, 0.04570019617676735, -0.021340975537896156, -0.005833479575812817, -0.02761026658117771, -0.0325351282954216, 0.06678697466850281, 0.032027050852775574, -0.023704683408141136, 0.02268214523792267, 0.00...
Dmitriiserg/Pxd
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T22:04:23Z
--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: robertuito-base-cased results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # robertuito-ba...
[ -0.012897726148366928, 0.0007823273772373796, -0.010291609913110733, 0.03611451014876366, 0.037416089326143265, 0.004843707196414471, -0.010582039132714272, -0.013741876929998398, -0.03884353116154671, 0.05150367692112923, 0.016213688999414444, -0.03556818515062332, -0.007091077044606209, ...
Dmitry12/sber
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T22:05:44Z
# Stable Diffusion web UI A browser interface based on Gradio library for Stable Diffusion. ![](txt2img_Screenshot.png) Check the [custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) wiki page for extra scripts developed by users. ## Features [Detailed feature showcas...
[ -0.003339117858558893, -0.02538459189236164, -0.008326351642608643, 0.047377537935972214, 0.04951438307762146, 0.011079729534685612, 0.011098247952759266, -0.02005491778254509, -0.012082003988325596, 0.05531087517738342, 0.02195066772401333, -0.007196420803666115, 0.019441938027739525, 0.0...
Doiman/DialoGPT-medium-harrypotter
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
13
2023-01-08T22:12:42Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-mrpc-target-glue-mrpc results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.03288853168487549, 0.0037065676879137754, 0.001920625101774931, 0.03520923852920532, 0.06149889901280403, 0.008295997977256775, -0.002161844866350293, -0.007309671025723219, -0.03278880566358566, 0.060211703181266785, 0.016926024109125137, -0.030103914439678192, 0.02278846502304077, 0.0...
DongHai/DialoGPT-small-rick
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
9
2023-01-08T22:18:14Z
--- tags: - CartPole-v1 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-CartPole-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: CartPole-v1 type: CartPole-v1 metrics: - type:...
[ -0.029234038665890694, 0.018230242654681206, 0.0036606306675821543, 0.009176405146718025, 0.04400138929486275, -0.018997717648744583, -0.021622145548462868, -0.01578444615006447, -0.029898816719651222, 0.0846094936132431, 0.017318837344646454, -0.008446608670055866, 0.017369553446769714, 0...
DongHyoungLee/distilbert-base-uncased-finetuned-cola
[ "pytorch", "tensorboard", "distilbert", "text-classification", "dataset:glue", "transformers", "generated_from_trainer", "license:apache-2.0", "model-index" ]
text-classification
{ "architectures": [ "DistilBertForSequenceClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
27
2023-01-08T22:19:38Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-target-glue-qnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.029142417013645172, 0.0031321991700679064, 0.002895524725317955, 0.038196418434381485, 0.06205549091100693, 0.0021690770518034697, 0.0014456233475357294, -0.009617496281862259, -0.03449288383126259, 0.05263809487223625, 0.008490512147545815, -0.030657043680548668, 0.02518482692539692, 0...
Donghyun/L2_BERT
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-08T22:22:52Z
--- license: apache-2.0 tags: - generated_from_trainer datasets: - imdb metrics: - accuracy - f1 model-index: - name: my_movie_review_model results: - task: name: Text Classification type: text-classification dataset: name: imdb type: imdb config: plain_text split: train ...
[ -0.01581512950360775, -0.007136869244277477, -0.02283778041601181, 0.04968714341521263, 0.03886262699961662, 0.03170693293213844, -0.026092153042554855, -0.01438579335808754, -0.03380800411105156, 0.06254352629184723, 0.06020020693540573, -0.014546822756528854, 0.005899143870919943, 0.0415...
Dongjae/mrc2reader
[ "pytorch", "xlm-roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "XLMRobertaForQuestionAnswering" ], "model_type": "xlm-roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
2023-01-08T22:24:28Z
--- tags: - generated_from_trainer model-index: - name: bert-base-casedepoch3_sexist_baseline_with_reddit_and_gabfordev results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment...
[ -0.010190443135797977, -0.021189885213971138, -0.022175459191203117, 0.033992357552051544, 0.04260098561644554, 0.02670152112841606, -0.00012508215149864554, -0.009552388451993465, -0.05201586335897446, 0.05805414542555809, 0.03507694974541664, -0.0004202889685984701, 0.0211823470890522, 0...
Dongmin/testmodel
[ "pytorch", "t5", "text2text-generation", "transformers", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": true, "length_penalty": 2, "max_length": 200, "min_length": 30, "no_repeat_ngram_s...
11
2023-01-08T22:27:39Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.017423588782548904, -0.01804712973535061, -0.0060409740544855595, 0.029699357226490974, 0.05181000754237175, -0.01818111352622509, -0.011418742127716541, -0.008828021585941315, -0.05952542647719383, 0.05494590476155281, -0.003017668379470706, -0.009470255114138126, 0.024567581713199615, ...
Waynehillsdev/Waynehills-STT-doogie-server
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
61
2023-01-08T22:34:09Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-mrpc-target-glue-qqp results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then rem...
[ -0.026819057762622833, 0.002313317032530904, 0.0010043993825092912, 0.03942934796214104, 0.061257414519786835, 0.0002901648113038391, 0.007030745968222618, -0.007295803166925907, -0.03630545362830162, 0.04720012843608856, 0.008367955684661865, -0.03142920508980751, 0.02419016696512699, 0.0...
Waynehillsdev/Waynehills_summary_tensorflow
[ "tf", "t5", "text2text-generation", "transformers", "generated_from_keras_callback", "autotrain_compatible" ]
text2text-generation
{ "architectures": [ "T5ForConditionalGeneration" ], "model_type": "t5", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
5
2023-01-08T22:34:15Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016039498150348663, -0.01785753294825554, -0.00599947664886713, 0.029532242566347122, 0.05235573649406433, -0.017132064327597618, -0.012031174264848232, -0.008740445598959923, -0.059764932841062546, 0.05498480796813965, -0.0025423767510801554, -0.009646001271903515, 0.02439541555941105, ...
Waynehillsdev/wav2vec2-base-timit-demo-colab
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers", "generated_from_trainer", "license:apache-2.0" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
5
2023-01-08T22:35:41Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.036949340254068375, -0.0026628116611391306, -0.005276885349303484, 0.02588452212512493, 0.04573851823806763, -0.02141662873327732, -0.005079800728708506, -0.02828935720026493, -0.03309841454029083, 0.06624875962734222, 0.03291080519556999, -0.023439660668373108, 0.02288675867021084, 0.0...
Doohae/q_encoder
[ "pytorch" ]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
3
2023-01-08T22:36:20Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: bert-base-casedepoch3_sexist_baseline_with_reddit_and_gab_equal results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofr...
[ -0.005988123826682568, -0.014401659369468689, -0.011143503710627556, 0.03849655017256737, 0.04241392761468887, 0.010952270589768887, -0.0007853997522033751, -0.008130289614200592, -0.05600854381918907, 0.05727279558777809, 0.017633778974413872, -0.012163800187408924, 0.03281905874609947, 0...
Doquey/DialoGPT-small-Luisbot1
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
7
2023-01-08T22:38:12Z
--- tags: - conversational --- # Ivern DialoGPT Model
[ -0.0392146110534668, 0.02264934964478016, -0.0017959271790459752, 0.014519548043608665, 0.013549530878663063, 0.010254370979964733, 0.004699808079749346, 0.02288849838078022, -0.013414853252470493, 0.010356822051107883, 0.0403677374124527, -0.043108221143484116, 0.029813824221491814, 0.015...
Doquey/DialoGPT-small-Michaelbot
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
10
2023-01-08T22:43:17Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-Taxi-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.71...
[ -0.018270503729581833, -0.015376190654933453, -0.0067025464959442616, 0.025383062660694122, 0.04845413565635681, -0.00041043772944249213, -0.020059095695614815, 0.006483838893473148, -0.03857747092843056, 0.05373665690422058, 0.015767576172947884, -0.008186813443899155, 0.011539764702320099,...
DoyyingFace/bert-asian-hate-tweets-asian-clean-with-unclean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
2023-01-08T22:47:59Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.7...
[ -0.018981553614139557, -0.015773769468069077, -0.007101864088326693, 0.026778431609272957, 0.04731658846139908, -0.002034927951171994, -0.01873433217406273, 0.007058279123157263, -0.03767745569348335, 0.05502347648143768, 0.016547570005059242, -0.00901583582162857, 0.011732390150427818, 0....
DoyyingFace/bert-asian-hate-tweets-asian-unclean-freeze-4
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
44
2023-01-08T22:56:16Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-Pixelcopter-PLE-v0 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE...
[ -0.04037322476506233, 0.016413282603025436, 0.014423536136746407, 0.0171884223818779, 0.048847440630197525, -0.013717537745833397, -0.01976635865867138, -0.02417893521487713, -0.018031852319836617, 0.06768763810396194, 0.035685550421476364, -0.008519143797457218, 0.01161352451890707, -0.00...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-slanted
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
29
2023-01-08T23:06:38Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3-v2 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.7...
[ -0.018941489979624748, -0.016332395374774933, -0.006552225910127163, 0.02670658938586712, 0.04713912680745125, -0.0024821022525429726, -0.019386131316423416, 0.007202805485576391, -0.0374375656247139, 0.05464513599872589, 0.01643642969429493, -0.008256032131612301, 0.010886851698160172, 0....
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-100
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
28
2023-01-08T23:07:00Z
--- tags: - Taxi-v3 - q-learning - reinforcement-learning - custom-implementation model-index: - name: taxi-v3-v3 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Taxi-v3 type: Taxi-v3 metrics: - type: mean_reward value: 7.56 +/- 2.7...
[ -0.01875929906964302, -0.015764672309160233, -0.006940761581063271, 0.026188110932707787, 0.04675055667757988, -0.00191407254897058, -0.01898866519331932, 0.006671718787401915, -0.03779911249876022, 0.0546441487967968, 0.016579924151301384, -0.009566200897097588, 0.011831124313175678, 0.02...
DoyyingFace/bert-asian-hate-tweets-asian-unclean-warmup-75
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
37
2023-01-08T23:18:05Z
--- tags: - generated_from_trainer model-index: - name: bert-base-casedepoch3_sexist_baseline_with_reddit_and_gab_equalfordev results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this c...
[ -0.01089588925242424, -0.020772915333509445, -0.022240502759814262, 0.033412400633096695, 0.04504973068833351, 0.025254784151911736, -0.0001805513893486932, -0.011178039014339447, -0.05375330150127411, 0.058806903660297394, 0.03414573892951012, -0.0008113376679830253, 0.023698827251791954, ...
DoyyingFace/bert-asian-hate-tweets-asonam-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
27
2023-01-08T23:23:36Z
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # Core ML Converted Model: - This model was converted to Core ML for use on Apple Silicon devices. Instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-files-to-Core-ML).<br>...
[ -0.020026614889502525, -0.01697494089603424, -0.010415374301373959, 0.028732188045978546, 0.04487568885087967, 0.018241161480545998, -0.006521725561469793, -0.010712726972997189, 0.004161251708865166, 0.07273281365633011, 0.06151328235864639, 0.014345191419124603, -0.004537590313702822, 0....
DoyyingFace/bert-asian-hate-tweets-asonam-unclean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
30
2023-01-08T23:24:47Z
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: sks --- ### sks-arzu-1400 Dreambooth model trained by eicu with [Hugging Face Dreambooth Training Space](https://huggingface.co/spaces/multimodalart/dreambooth-training) with the v1-5 base model You run your new concept via `diffusers` [Colab Not...
[ -0.03217180073261261, -0.03504437208175659, -0.019157735630869865, 0.030936140567064285, 0.034339919686317444, 0.023830482736229897, -0.04001710191369057, -0.016176845878362656, -0.02619677223265171, 0.050786204636096954, 0.025464534759521484, 0.016398081555962563, -0.023607587441802025, 0...
DoyyingFace/bert-asian-hate-tweets-concat-clean-with-unclean-valid
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
2023-01-08T23:26:26Z
--- tags: - Pixelcopter-PLE-v0 - reinforce - reinforcement-learning - custom-implementation - deep-rl-class model-index: - name: Reinforce-PixelCopter-v1 results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Pixelcopter-PLE-v0 type: Pixelcopter-PLE-v0 ...
[ -0.040632084012031555, 0.015374175272881985, 0.013418592512607574, 0.018546853214502335, 0.0486520454287529, -0.013264592736959457, -0.020177382975816727, -0.02382258139550686, -0.017778385430574417, 0.0679413303732872, 0.035992581397295, -0.007552674040198326, 0.011560485698282719, -0.007...
DoyyingFace/bert-asian-hate-tweets-concat-clean
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
25
2023-01-08T23:28:29Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-target-glue-rte results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove t...
[ -0.03319408372044563, 0.003221525577828288, 0.0014252258697524667, 0.03408711031079292, 0.06253759562969208, 0.014527197927236557, -0.0032403634395450354, -0.007569993380457163, -0.03615943342447281, 0.06258563697338104, 0.01734725385904312, -0.034661855548620224, 0.022216614335775375, 0.0...
albert-base-v1
[ "pytorch", "tf", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
38,156
2023-01-08T23:30:07Z
--- tags: - generated_from_trainer model-index: - name: bert-base-casedepoch3_sexist_baseline_with_reddit_and_gab_equalfordevfordev results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.010689024813473225, -0.020914599299430847, -0.02267259545624256, 0.030668120831251144, 0.046492598950862885, 0.025654258206486702, -0.0008787466795183718, -0.013774406164884567, -0.05275535583496094, 0.0600743293762207, 0.035748183727264404, -0.0009734516497701406, 0.02289455384016037, ...
albert-base-v2
[ "pytorch", "tf", "jax", "rust", "safetensors", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
4,785,283
2023-01-08T23:34:09Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-target-glue-sst2 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.02881157584488392, 0.0006715749041177332, -0.0013565552653744817, 0.038153182715177536, 0.06368040293455124, 0.00966863427311182, -0.002005466725677252, -0.005499166902154684, -0.03623772785067558, 0.059724412858486176, 0.01298549771308899, -0.027863208204507828, 0.023582860827445984, 0...
albert-xlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
341
2023-01-08T23:38:41Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.015120310708880424, -0.021451732143759727, -0.0030640738550573587, 0.029432227835059166, 0.05126720666885376, -0.019560154527425766, -0.008939921855926514, -0.00840479601174593, -0.06005443260073662, 0.056493718177080154, -0.0010040698107331991, -0.007429565768688917, 0.027077943086624146...
albert-xlarge-v2
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
2,973
2023-01-08T23:39:35Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03717239573597908, -0.0027608100790530443, -0.005038204602897167, 0.025579677894711494, 0.04573981463909149, -0.021486803889274597, -0.005323652643710375, -0.027855724096298218, -0.033188674598932266, 0.0662519782781601, 0.03238735347986221, -0.023396404460072517, 0.022929703816771507, ...
albert-xxlarge-v1
[ "pytorch", "tf", "albert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1909.11942", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "AlbertForMaskedLM" ], "model_type": "albert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_...
7,091
2023-01-08T23:40:16Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: wav2vec2-large-xls-r-300m-asp-project-bribri results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this commen...
[ -0.032896339893341064, -0.011504060588777065, -0.0244695246219635, 0.024242807179689407, 0.03984641283750534, 0.01410189550369978, -0.017057102173566818, 0.00152156304102391, -0.01878160424530506, 0.0511130653321743, 0.04963374882936478, -0.0030940831638872623, -0.00242991978302598, 0.0433...
bert-base-cased-finetuned-mrpc
[ "pytorch", "tf", "jax", "bert", "fill-mask", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
11,644
2023-01-08T23:43:59Z
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-Slippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 metrics: ...
[ -0.018417319282889366, -0.02169181779026985, 0.0015889048809185624, 0.029647119343280792, 0.0526234433054924, -0.02215072698891163, -0.006486170459538698, -0.0068194265477359295, -0.05723460763692856, 0.05596813187003136, 0.0007948995335027575, -0.004859468899667263, 0.029552297666668892, ...
bert-base-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8,621,271
2023-01-08T23:51:46Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - spearmanr model-index: - name: tiny-mlm-glue-mrpc-target-glue-stsb results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove...
[ -0.039426278322935104, 0.004626949783414602, -0.014344420284032822, 0.04424253851175308, 0.06274764239788055, 0.005123587790876627, -0.007132197730243206, -0.006879259832203388, -0.04254733771085739, 0.060117851942777634, 0.00642972020432353, -0.027405377477407455, 0.015274476259946823, 0....
bert-base-chinese
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "zh", "arxiv:1810.04805", "transformers", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
3,377,486
2023-01-08T23:57:41Z
--- tags: - FrozenLake-v1-8x8 - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-8x8-Slippery-IAMSMART results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-8x8 type: FrozenLake-v1-8x8 m...
[ -0.017414342612028122, -0.02064433880150318, -0.002537796040996909, 0.030796388164162636, 0.05546758696436882, -0.018201423808932304, -0.006262974813580513, -0.004663420375436544, -0.052932146936655045, 0.06050238385796547, 0.005642639007419348, -0.0025150361470878124, 0.02593347430229187, ...
bert-base-multilingual-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", "et", ...
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
328,585
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-mrpc-target-glue-wnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.037533678114414215, 0.0004137927608098835, 0.0028560105711221695, 0.034479767084121704, 0.05928701534867287, 0.012183938175439835, -0.0029320453759282827, -0.005730470642447472, -0.03026643954217434, 0.06245333328843117, 0.021646028384566307, -0.031235143542289734, 0.020956983789801598, ...
bert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
59,663,489
2023-01-09T00:07:11Z
--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: taylor-swift-model-temp results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # taylor-swif...
[ -0.03280654549598694, -0.006112067960202694, -0.019366588443517685, 0.04238663613796234, 0.04248947650194168, 0.01430023554712534, -0.011769814416766167, 0.018438436090946198, -0.048978909850120544, 0.05214320123195648, 0.001375146210193634, -0.029121313244104385, 0.013995081186294556, 0.0...
bert-large-cased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "rust", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
8,214
2023-01-09T00:10:08Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - matthews_correlation model-index: - name: tiny-mlm-glue-qnli-target-glue-cola results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, ...
[ -0.02851179800927639, 0.004158086609095335, 0.004898659884929657, 0.03885318338871002, 0.059218037873506546, 0.009334621019661427, -0.016652921214699745, -0.013181130401790142, -0.0401139110326767, 0.04931024834513664, 0.02266235090792179, -0.019384587183594704, 0.029582904651761055, 0.033...
bert-large-cased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
388,769
2023-01-09T00:21:36Z
--- tags: - generated_from_trainer model-index: - name: bert-from-scratch-15e-10334t-finetuned-opinion results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # bert-fro...
[ -0.009598419070243835, -0.0036018716637045145, -0.0025411418173462152, 0.035931628197431564, 0.030938196927309036, 0.0035328338854014874, -0.02625279873609543, -0.0072725992649793625, -0.039296552538871765, 0.049444399774074554, 0.016960788518190384, -0.02822052873671055, 0.00433798693120479...
bert-large-uncased-whole-word-masking-finetuned-squad
[ "pytorch", "tf", "jax", "safetensors", "bert", "question-answering", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
question-answering
{ "architectures": [ "BertForQuestionAnswering" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_n...
480,510
2023-01-09T00:22:58Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-qnli-target-glue-mnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.027922669425606728, 0.000030129143851809204, 0.0014525457518175244, 0.03683248907327652, 0.059242263436317444, 0.0033960125874727964, -0.0009649037383496761, -0.01230123732239008, -0.03601560741662979, 0.049591127783060074, 0.004770015832036734, -0.02888118103146553, 0.03334889933466911, ...
bert-large-uncased-whole-word-masking
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
76,685
2023-01-09T00:25:22Z
--- tags: - Qbert-v5 - deep-reinforcement-learning - reinforcement-learning - custom-implementation library_name: cleanrl model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: Qbert-v5 type: Qbert-v5 metrics: - type: me...
[ -0.006602400913834572, -0.0051580467261374, -0.023468151688575745, 0.028263473883271217, 0.04475679621100426, -0.008731202222406864, -0.008125603199005127, -0.03504312038421631, -0.017453672364354134, 0.05675843358039856, 0.006386409979313612, -0.009108095429837704, -0.0003978423774242401, ...
bert-large-uncased
[ "pytorch", "tf", "jax", "safetensors", "bert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1810.04805", "transformers", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "BertForMaskedLM" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,058,496
2023-01-09T00:26:09Z
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # Core ML Converted Model: - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/Moc...
[ -0.03489691764116287, -0.030032265931367874, -0.019687745720148087, 0.01873437874019146, 0.040469542145729065, 0.02168603613972664, -0.004354442935436964, -0.012874973006546497, -0.020803047344088554, 0.05375400185585022, 0.049163784831762314, 0.007044738624244928, -0.014785944484174252, 0...
ctrl
[ "pytorch", "tf", "ctrl", "en", "arxiv:1909.05858", "arxiv:1910.09700", "transformers", "license:bsd-3-clause", "has_space" ]
null
{ "architectures": null, "model_type": "ctrl", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
17,007
2023-01-09T00:39:03Z
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### mpid-hassanblend-v1-4-main-v2 Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the conc...
[ -0.022338489070534706, -0.00998203456401825, -0.03015555813908577, 0.03392649441957474, 0.029636910185217857, 0.02327916957437992, 0.006082240026444197, 0.0026121654082089663, -0.006215736735612154, 0.035987962037324905, 0.034352246671915054, 0.008480212651193142, -0.020099246874451637, 0....
distilbert-base-multilingual-cased
[ "pytorch", "tf", "onnx", "safetensors", "distilbert", "fill-mask", "multilingual", "af", "sq", "ar", "an", "hy", "ast", "az", "ba", "eu", "bar", "be", "bn", "inc", "bs", "br", "bg", "my", "ca", "ceb", "ce", "zh", "cv", "hr", "cs", "da", "nl", "en", ...
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
8,339,633
2023-01-09T00:53:26Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-qnli-target-glue-mrpc results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then re...
[ -0.0280019361525774, 0.0010901300702244043, 0.0024717694614082575, 0.03711024671792984, 0.061802804470062256, 0.004853747319430113, -0.0013881692430004478, -0.013024747371673584, -0.033659275621175766, 0.052165403962135315, 0.006571244914084673, -0.029483336955308914, 0.02850651554763317, ...
distilbert-base-uncased
[ "pytorch", "tf", "jax", "rust", "safetensors", "distilbert", "fill-mask", "en", "dataset:bookcorpus", "dataset:wikipedia", "arxiv:1910.01108", "transformers", "exbert", "license:apache-2.0", "autotrain_compatible", "has_space" ]
fill-mask
{ "architectures": [ "DistilBertForMaskedLM" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repea...
10,887,471
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.041766926646232605, -0.0010109981521964073, -0.008449245244264603, 0.04967798292636871, 0.027604399248957634, 0.021169638261198997, -0.024674411863088608, -0.036964040249586105, -0.005957105662673712, 0.049148593097925186, 0.018927564844489098, -0.009249488823115826, 0.020830027759075165,...
gpt2-large
[ "pytorch", "tf", "jax", "rust", "safetensors", "gpt2", "text-generation", "en", "arxiv:1910.09700", "transformers", "license:mit", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
1,454,819
2023-01-09T01:02:17Z
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-qnli-target-glue-qnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.024709295481443405, -0.00030961461015976965, 0.002331820549443364, 0.03558722510933876, 0.059905026108026505, 0.0030667660757899284, 0.0008285739459097385, -0.012082557193934917, -0.03705046325922012, 0.0482260137796402, 0.00165018648840487, -0.027399500831961632, 0.0326252207159996, 0....
gpt2-xl
[ "pytorch", "tf", "jax", "rust", "gpt2", "text-generation", "en", "arxiv:1910.09700", "transformers", "license:mit", "has_space" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
308,781
2023-01-09T01:07:21Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.01934269443154335, -0.01635458879172802, -0.008580991066992283, 0.030277837067842484, 0.051334019750356674, -0.013311811722815037, -0.011108859442174435, -0.00900479406118393, -0.057378754019737244, 0.054045338183641434, -0.00025154874310828745, -0.0068445936776697636, 0.02644305303692817...
850886470/xxy_gpt2_chinese
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
2023-01-09T03:56:39Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016345975920557976, -0.018252577632665634, -0.007757074665278196, 0.03185224160552025, 0.051512107253074646, -0.01604694128036499, -0.009853142313659191, -0.009148786775767803, -0.05818989500403404, 0.0549718402326107, -0.0021729380823671818, -0.006987134926021099, 0.025378530845046043, ...
Pinwheel/wav2vec2-large-xls-r-1b-hi-v2
[ "pytorch", "tensorboard", "wav2vec2", "automatic-speech-recognition", "transformers" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
9
2023-01-09T07:18:41Z
--- tags: - FrozenLake-v1-4x4-no_slippery - q-learning - reinforcement-learning - custom-implementation model-index: - name: q-FrozenLake-v1-4x4-noSlippery results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: FrozenLake-v1-4x4-no_slippery type: Frozen...
[ -0.016658006235957146, -0.01811675913631916, -0.005631098989397287, 0.028586992993950844, 0.05058448389172554, -0.016427122056484222, -0.01187650952488184, -0.007654143963009119, -0.05876942723989487, 0.055382274091243744, -0.0014113382203504443, -0.00836964137852192, 0.026195187121629715, ...
AdapterHub/bert-base-uncased-pf-stsb
[ "bert", "en", "arxiv:2104.08247", "adapter-transformers", "text-classification", "adapterhub:sts/sts-b" ]
text-classification
{ "architectures": null, "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_bea...
3
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.042154710739851, -0.0011514241341501474, -0.007326855324208736, 0.049594633281230927, 0.02832634560763836, 0.021714383736252785, -0.025866875424981117, -0.036923132836818695, -0.005942112300544977, 0.049264077097177505, 0.019255295395851135, -0.009225958958268166, 0.021270854398608208, ...
AdapterHub/roberta-base-pf-drop
[ "roberta", "en", "dataset:drop", "arxiv:2104.08247", "adapter-transformers", "question-answering" ]
question-answering
{ "architectures": null, "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: tiny-mlm-glue-stsb-target-glue-mnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove ...
[ -0.03196593001484871, -0.000448237347882241, -0.007272020447999239, 0.03959883749485016, 0.0602596141397953, 0.011889006942510605, -0.005425645038485527, -0.004483949393033981, -0.039475906640291214, 0.05822061747312546, 0.00823649950325489, -0.027289116755127907, 0.030020728707313538, 0.0...
Akashpb13/Central_kurdish_xlsr
[ "pytorch", "wav2vec2", "automatic-speech-recognition", "ckb", "dataset:mozilla-foundation/common_voice_8_0", "transformers", "mozilla-foundation/common_voice_8_0", "generated_from_trainer", "robust-speech-event", "model_for_talk", "hf-asr-leaderboard", "license:apache-2.0", "model-index" ]
automatic-speech-recognition
{ "architectures": [ "Wav2Vec2ForCTC" ], "model_type": "wav2vec2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_s...
10
null
--- license: creativeml-openrail-m tags: - pytorch - diffusers - stable-diffusion - text-to-image - diffusion-models-class - dreambooth-hackathon - wildcard widget: - text: illustration of a dashdash toy sitting on top of the deck of a battle ship traveling through the open sea with a lot of ships surrounding it --...
[ -0.022099291905760765, -0.020883703604340553, -0.006000080145895481, 0.021890658885240555, 0.031976331025362015, 0.009623659774661064, 0.0019775074906647205, 0.008751630783081055, -0.011329232715070248, 0.04301911219954491, 0.033886052668094635, 0.0022143248934298754, -0.016159936785697937, ...
AlbertHSU/ChineseFoodBert
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
15
null
--- license: creativeml-openrail-m tags: - text-to-image widget: - text: oklyt --- oklyt (use that on your prompt)
[ -0.0318991057574749, -0.006884633097797632, -0.017669660970568657, -0.001961449161171913, 0.05902149900794029, 0.015710800886154175, -0.01926131173968315, -0.007860969752073288, -0.03225325793027878, 0.039714839309453964, 0.041311100125312805, 0.028530219569802284, -0.005875322502106428, 0...
Aleksandar/distilbert-srb-ner-setimes
[ "pytorch", "distilbert", "token-classification", "transformers", "generated_from_trainer", "autotrain_compatible" ]
token-classification
{ "architectures": [ "DistilBertForTokenClassification" ], "model_type": "distilbert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, ...
3
2023-01-09T15:34:29Z
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.03757069632411003, -0.002867441624403, -0.005013204645365477, 0.026000915095210075, 0.0453566275537014, -0.021149268373847008, -0.005569037515670061, -0.027843179181218147, -0.033049535006284714, 0.06643537431955338, 0.03204053267836571, -0.023480117321014404, 0.023139318451285362, 0.00...
Aleksandar1932/gpt2-hip-hop
[ "pytorch", "gpt2", "text-generation", "transformers" ]
text-generation
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
8
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy - f1 model-index: - name: tiny-mlm-glue-cola-custom-tokenizer-target-glue-qqp results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and comp...
[ -0.018053920939564705, 0.000710258143953979, -0.007407509256154299, 0.03359634429216385, 0.06462755054235458, 0.005436446983367205, -0.011033610440790653, -0.006749019026756287, -0.04081607237458229, 0.0496857725083828, 0.028599116951227188, -0.014994014985859394, 0.027767149731516838, 0.0...
Andrey1989/mt5-small-finetuned-mlsum-fr
[]
null
{ "architectures": null, "model_type": null, "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": null, "num_beams...
0
null
--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: nlptest results: [] --- <!-- This model card has been generated automatically according to the information Keras had access to. You should probably proofread and complete it, then remove this comment. --> # nlptest This model is a f...
[ -0.018908444792032242, -0.021329527720808983, 0.012486279010772705, 0.020851654931902885, 0.02975786104798317, -0.009617730043828487, -0.01967819407582283, -0.010798514820635319, -0.03342089802026749, 0.05423237383365631, 0.002366149565204978, -0.03531589359045029, 0.015486558899283409, 0....
Andrija/SRoBERTa-F
[ "pytorch", "tensorboard", "roberta", "fill-mask", "hr", "sr", "multilingual", "dataset:oscar", "dataset:srwac", "dataset:leipzig", "dataset:cc100", "dataset:hrwac", "transformers", "masked-lm", "license:apache-2.0", "autotrain_compatible" ]
fill-mask
{ "architectures": [ "RobertaForMaskedLM" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngra...
59
null
--- license: mit tags: - generated_from_trainer datasets: - imagefolder model-index: - name: donut-base-rr results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # donu...
[ -0.035178784281015396, -0.016190173104405403, 0.00027524595498107374, 0.049494318664073944, 0.02282603085041046, 0.008149269968271255, 0.02056102454662323, -0.009963268414139748, -0.02089894376695156, 0.027083003893494606, 0.04534948617219925, -0.02506289817392826, 0.015297668054699898, 0....
AnonymousSub/declutr-s10-AR
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
26
null
--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: kobigbird-pure45-82642472 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # k...
[ -0.052131205797195435, -0.009480349719524384, -0.02289988100528717, 0.02638392336666584, 0.031138340011239052, 0.009913397952914238, -0.016116822138428688, -0.011405178345739841, -0.018829984590411186, 0.03545670583844185, 0.01764906942844391, -0.01873832382261753, 0.0075848158448934555, 0...
AnonymousSub/declutr-techqa
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
5
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.041610877960920334, -0.0017171137733384967, -0.007518473081290722, 0.04988132789731026, 0.028362249955534935, 0.02097618766129017, -0.024210378527641296, -0.03727702423930168, -0.005343662109225988, 0.04948466643691063, 0.019390905275940895, -0.009478460066020489, 0.021744469180703163, ...
AnonymousSub/dummy_2_parent
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
3
null
--- tags: - spacy - text-classification language: - en model-index: - name: en_nature_of_li_multilabel results: [] --- | Feature | Description | | --- | --- | | **Name** | `en_nature_of_li_multilabel` | | **Version** | `0.0.0` | | **spaCy** | `>=3.4.3,<3.5.0` | | **Default Pipeline** | `textcat_multilabel` | | **Comp...
[ 0.0024440798442810774, -0.0167269017547369, -0.01440614927560091, 0.03909365460276604, 0.05841641500592232, 0.010262738913297653, -0.005718064960092306, -0.004808300640434027, -0.029545370489358902, 0.05349932610988617, 0.028477568179368973, -0.005889385938644409, 0.02218746580183506, 0.04...
AnonymousSub/hier_triplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: kobigbird-pure31-24819605 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # k...
[ -0.05141136795282364, -0.012590518221259117, -0.022615700960159302, 0.025459056720137596, 0.03159544989466667, 0.010464691556990147, -0.014681857079267502, -0.009903743863105774, -0.017901020124554634, 0.036358144134283066, 0.016037018969655037, -0.019304729998111725, 0.0059676808305084705, ...
AnonymousSub/hier_triplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: mit pipeline_tag: zero-shot-image-classification library_name: open_clip tags: - clip --- # Model Card for CLIP-convnext_base_w.laion2B-s13B-b82k-augreg # Table of Contents 1. [Model Details](#model-details) 2. [Uses](#uses) 3. [Training Details](#training-details) 4. [Evaluation](#evaluation) 5. [Ackno...
[ -0.039419203996658325, -0.017868811264634132, -0.004875344689935446, 0.025440489873290062, 0.03934423252940178, -0.018296414986252785, -0.011289426125586033, -0.02070372737944126, -0.01543325837701559, 0.06659599393606186, 0.03675952926278114, -0.01583646610379219, -0.004395385272800922, 0...
AnonymousSub/roberta-base_squad2.0
[ "pytorch", "roberta", "question-answering", "transformers", "autotrain_compatible" ]
question-answering
{ "architectures": [ "RobertaForQuestionAnswering" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_re...
6
null
--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: kobigbird-pure32-16909457 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # k...
[ -0.053836315870285034, -0.009941061958670616, -0.02428434230387211, 0.024072017520666122, 0.03163230046629906, 0.0055982922203838825, -0.01508166640996933, -0.011003563180565834, -0.014237468130886555, 0.034311696887016296, 0.017363784834742546, -0.020490840077400208, 0.006209613289684057, ...
AnonymousSub/roberta-base_wikiqa
[ "pytorch", "roberta", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "RobertaForSequenceClassification" ], "model_type": "roberta", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "...
25
null
--- license: mit library_name: open_clip pipeline_tag: zero-shot-image-classification tags: - clip --- # Model Card for CLIP-convnext_base_w-320.laion_aesthetic-s13B-b82k-augreg # Table of Contents 1. [Model Details](#model-details) 2. [Uses](#uses) 3. [Training Details](#training-details) 4. [Evaluation](#evaluatio...
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AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- pipeline_tag: sentence-similarity tags: - sentence-transformers - feature-extraction - sentence-similarity - transformers --- # {MODEL_NAME} This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clust...
[ -0.03696664050221443, -0.01701398752629757, -0.016506478190422058, 0.05092189833521843, 0.010803552344441414, 0.044856805354356766, -0.018545731902122498, -0.0023372878786176443, -0.0697537362575531, 0.08356869965791702, 0.03909385949373245, 0.012957299128174782, 0.0021061135921627283, 0.0...
AnonymousSub/rule_based_bert_hier_diff_equal_wts_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
6
null
--- license: apache-2.0 tags: - generated_from_trainer metrics: - accuracy model-index: - name: small-mlm-glue-cola-target-glue-wnli results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove...
[ -0.023546067997813225, 0.0014522142009809613, -0.0027203564532101154, 0.02999688684940338, 0.06779559701681137, 0.015519944950938225, -0.014750207774341106, -0.008151574060320854, -0.03396156430244446, 0.056915752589702606, 0.03362716734409332, -0.01866142824292183, 0.021187638863921165, 0...
AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### mpid-hassanblend-v1-4-last-version Dreambooth model trained by tftgregrge with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the...
[ -0.020165977999567986, -0.011151744052767754, -0.029032688587903976, 0.032957807183265686, 0.027358561754226685, 0.024775009602308273, 0.004206233192235231, 0.001751687959767878, -0.006573469843715429, 0.03238612785935402, 0.03846457973122597, 0.008104351349174976, -0.023261774331331253, 0...
AnonymousSub/rule_based_bert_quadruplet_epochs_1_shard_10
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- tags: - unity-ml-agents - ml-agents - deep-reinforcement-learning - reinforcement-learning - ML-Agents-Huggy library_name: ml-agents --- # **ppo** Agent playing **Huggy** This is a trained model of a **ppo** agent playing **Huggy** using the [Unity ML-Agents Libra...
[ -0.04088106006383896, -0.00270037236623466, -0.007377923000603914, 0.04951721057295799, 0.028463710099458694, 0.02200889214873314, -0.02457820437848568, -0.03617296740412712, -0.006019975524395704, 0.04918769747018814, 0.01943444088101387, -0.009668630547821522, 0.019737910479307175, 0.030...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa
[ "pytorch", "bert", "text-classification", "transformers" ]
text-classification
{ "architectures": [ "BertForSequenceClassification" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_rep...
31
null
--- license: creativeml-openrail-m tags: - text-to-image - stable-diffusion --- ### elenakiss Dreambooth model trained by REddiska with [TheLastBen's fast-DreamBooth](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast-DreamBooth.ipynb) notebook Test the concept via A1111 Colab [f...
[ -0.029628662392497063, -0.010145142674446106, -0.023420244455337524, 0.029109761118888855, 0.0295802503824234, 0.01251401100307703, 0.004492722451686859, 0.003679682034999132, -0.029161453247070312, 0.03796207532286644, 0.03976695239543915, -0.003918662667274475, -0.02933988720178604, 0.02...
AnonymousSub/rule_based_bert_triplet_epochs_1_shard_1_wikiqa_copy
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
1
null
--- library_name: stable-baselines3 tags: - LunarLander-v2 - deep-reinforcement-learning - reinforcement-learning - stable-baselines3 model-index: - name: PPO results: - task: type: reinforcement-learning name: reinforcement-learning dataset: name: LunarLander-v2 type: LunarLander-v2 ...
[ -0.036749545484781265, -0.002414294285699725, -0.005101202055811882, 0.025104310363531113, 0.04559275135397911, -0.021036358550190926, -0.005921504460275173, -0.02706092782318592, -0.0333816334605217, 0.066507488489151, 0.03222405165433884, -0.022976946085691452, 0.022433530539274216, 0.00...
AnonymousSub/rule_based_hier_quadruplet_epochs_1_shard_1
[ "pytorch", "bert", "feature-extraction", "transformers" ]
feature-extraction
{ "architectures": [ "BertModel" ], "model_type": "bert", "task_specific_params": { "conversational": { "max_length": null }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size": nul...
8
null
--- license: creativeml-openrail-m tags: - coreml - stable-diffusion - text-to-image --- # Core ML Converted Model: - This model was converted to Core ML for use on Apple Silicon devices. Instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-files-to-Core-ML).<br>...
[ -0.01393924467265606, -0.005043810699135065, -0.027821674942970276, 0.0319894514977932, 0.04099486023187637, 0.0014565530000254512, 0.00274644629098475, -0.00871247798204422, -0.010357340797781944, 0.059421390295028687, 0.03660210222005844, 0.0166570246219635, 0.02476499229669571, 0.048931...
AnthonyNelson/DialoGPT-small-ricksanchez
[ "pytorch", "gpt2", "text-generation", "transformers", "conversational" ]
conversational
{ "architectures": [ "GPT2LMHeadModel" ], "model_type": "gpt2", "task_specific_params": { "conversational": { "max_length": 1000 }, "summarization": { "early_stopping": null, "length_penalty": null, "max_length": null, "min_length": null, "no_repeat_ngram_size...
12
null
--- tags: - generated_from_trainer datasets: - custom_squad_v2 model-index: - name: kobigbird-test45-79336811 results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # k...
[ -0.0517968013882637, -0.013695825822651386, -0.019403936341404915, 0.025963768362998962, 0.03381616994738579, 0.013615843839943409, -0.011117016896605492, -0.013496007770299911, -0.024195842444896698, 0.037842750549316406, 0.02076621912419796, -0.0132068432867527, 0.003887232393026352, 0.0...